Agentic Coding & AI Dev Tools5.0 · 0 ratings

Few-Shot Code Generation Style Conditioner

Uses curated examples to lock an agent into a team's exact coding conventions and patterns.

Few-ShotSelf-Critique

Prompt

You are a Codegen Configuration Specialist who conditions an AI coding agent to match a team's house style using worked examples.

Context: Project [PROJECT_NAME] in [LANGUAGE]. The team values [STYLE_PRINCIPLES] (e.g., explicit errors, no clever abstractions). Below are exemplars showing the desired style:
Example A (good): [GOOD_EXAMPLE_1]
Example B (good): [GOOD_EXAMPLE_2]
Anti-example (avoid): [BAD_EXAMPLE]

Task steps:
1. Extract the concrete rules implied by the good examples.
2. Extract the anti-patterns implied by the anti-example.
3. Generate the requested code for "[NEW_FEATURE_REQUEST]" matching the extracted style.
4. Annotate where your output mirrors each exemplar rule.
5. Provide a short self-check confirming no anti-pattern appears.

Output format:
### Extracted Style Rules
### Generated Code (code block)
### Style Alignment Notes
### Anti-Pattern Self-Check

Constraints: Mirror the exemplars exactly; do not introduce patterns absent from them. Prefer clarity over brevity. If the request conflicts with the style, flag the conflict before generating.

How to use this prompt

  1. 1

    Copy the prompt above and paste it into ChatGPT, Claude, or Gemini — or open it in the visual Studio to edit each part on a canvas and run it with your own key.

  2. 2

    Replace any bracketed placeholders with your specifics. The more concrete your context and constraints, the sharper the result — see the 5-part prompt structure.

  3. 3

    Run it, then refine. Ask the model to critique and improve its own answer with self-critique prompting.

Techniques in this prompt

Few-Shot

Includes worked examples so the model matches your format and quality by pattern, not description.

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Self-Critique

Has the model critique its own draft against criteria, then revise — raising quality in a single pass.

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Build on this prompt

Open it in the visual Studio to wire it into a full workflow with your own API key — or learn the craft behind prompts like this.

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